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I am a member of Data Unlocked, a co-operative business formed to work on data projects for social good. We are currently working on a project with Inside Outcomes and Birmingham City University to estimate the rate of diagnosis of over twenty health conditions in England using openly available datasets. This blog post explains how we have made our estimations.

Earlier this year Data Unlocked spoke with Darren Wright of Inside Outcomes about the possibility of estimating the diagnosis of health conditions in England by area, something we were surprised wasn’t already available.

The National Health Service (NHS) do produce statistics, called Quality Outcome Framework (QOF) measures, that break down the prevalence of diagnosis of twenty five different health conditions from Atrial Fibrillation to Stroke, by GP practice.

Pre-Existing Condition - The Noun Project

They also produce statistics about the number of patients registered in GPs practices, broken down by the Lower Layer Super Output Area (LSOA) they live in.Continue reading

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Recently I’ve been doing some work with Mudlark on a data vizualisation project. Matt Watkins, their lead technologist, suggested that I might like to subscribe to Flowing Data, a daily newsletter with illustrations of different data viz work.

It’s well worth subscribing to. My favourite recent post had a link to the video below which demonstrates the Bubble Sort algorithm by means of Hungarian Folk Dance.

This was created at Sapientia University in Tirgu Mures (Marosv?s?rhely), Romania. They have their own YouTube channel as well as Facebook page. And really, what’s not to like?